Open-weight models

DeepSeek V3 0324, the DeepSeek model in numbers

DeepSeek V3 0324 in numbers: price per token, context window, independent benchmark scores and comparable models, based on public data checked on October 22, 2026.

Data as of October 22, 2026

Key figures

DeveloperDeepSeek
ReleasedMarch 24, 2025
Context window163,840 tokens (≈ 246 pages)
Maximum output163,840 tokens
Input price$0.27 per million tokens (median of 11 providers)
Output price$1.1 per million tokens
Open weightsYes
Reasoning modeNo
Tool callingYes
Structured output (JSON)Not disclosed
Accepted inputstext
Providers offering it11

What you need to know

DeepSeek V3 0324 is a language model from DeepSeek, released on March 24, 2025. That makes it more than a year old: successors may have shipped since. It is an open-weight model: you can host it yourself on infrastructure you control, and 11 API providers listed on models.dev also offer it. It has no declared reasoning mode: it answers directly, without an extra billed thinking step.

We file it under open-weight models (68 models in this category on the site).

Measured performance

Epoch AI publishes 3 results for DeepSeek V3 0324 on our basket's benchmarks: too few to compute a reliable capability index.

  • GPQA Diamond (PhD-level science questions): 67.6% — the best tracked model, Gemini 4 Argon, reaches 96.4%
  • OTIS Mock AIME (competition mathematics problems): 37.8% — the best tracked model, GPT-5.5 Pro, reaches 100%
  • Aider Polyglot (code editing across several languages): 5,510% — the best tracked model, GPT-5, reaches 8,800%

Pricing and budget

DeepSeek V3 0324 costs $0.27 per million input tokens and $1.1 per million output tokens (median of 11 providers, checked on October 22, 2026).

In practice, an agent task that reads 20,000 tokens and writes 2,000 costs about $0.008, or $7.6 for 1,000 such tasks.

That is in line with open-weight models, whose median output price is $1.

To estimate your own budget, use the agent cost calculator.

Technical specifications

Its context window reaches 163,840 tokens, roughly 246 pages of text at 500 words per page: enough for a medium-length document. A single answer can run to 163,840 tokens.

It accepts as input: text.

It can call tools (functions, APIs), which makes it a possible foundation for an AI agent.

Who is it for?

Given its category, DeepSeek V3 0324 is mainly aimed at projects where you want control over your data or hosting, or want to adapt the model to your field.

Before adopting it, test it on your own examples: benchmarks measure standard tasks, not your job.

Alternatives

In the same category, the models closest to DeepSeek V3 0324 are:

Independent benchmark scores

BenchmarkWhat it measuresScore
GPQA DiamondPhD-level science questions67.6%
OTIS Mock AIMEcompetition mathematics problems37.8%
Aider Polyglotcode editing across several languages5,510%

Similar models

Other DeepSeek models

Frequently asked questions

How much does DeepSeek V3 0324 cost?

As of October 22, 2026, DeepSeek V3 0324 costs $0.27 per million input tokens and $1.1 per million output tokens (median of 11 providers). A task that reads 20,000 tokens and writes 2,000 costs about $0.008.

What is the context window of DeepSeek V3 0324?

163,840 tokens, roughly 246 pages of text. An answer can reach 163,840 tokens.

Is DeepSeek V3 0324 open source?

Its weights are published: you can install it on your own servers. Check the license before commercial use.

When was DeepSeek V3 0324 released?

DeepSeek V3 0324 was released on March 24, 2025, according to models.dev.

Can you build an agent with DeepSeek V3 0324?

Yes: it can call tools, the two basic building blocks of an agent.

Data sources

Data as of October 22, 2026

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